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Ecology of Mined WV Watersheds: Monongahela River to Tug Fork
J. Todd Petty, PhDDivision of Forestry & Natural Resources
Surface Mine Drainage Task Force – Morgantown, WVMarch 31, 2010
Acknowledgements
Watershed processes in intensively mined landscapes.•Monongahela River•Pigeon Creek
Aquatic ecosystem functions on reclaimed surface mines.•Samples•Hobet•Argus
KEY TOPICS1. Dominant stressor identification;2. Landscape indicators of instream condition;3. Interactions among stressors;4. Threshold responses (local and regional scale)
Functional value of habitat enhancement structures as mitigation for mining related impacts•L. Coal River
WVU / WVWRI Research Areas
Landscape ThresholdsA level of activity on the landscape (e.g., mining, development, agriculture) that results in an unacceptable shift from functional to impaired conditions.
Non-linear change point thresholds.• Abrupt change in community structure
Linear functional thresholds.• Cross-over to “impaired” conditions
• Loss of a smallmouth bass fishery
• WVSCI < 68
• Mining Intensity• Coal Geology (freeport,
kittanning, pittsburgh)• AMD Chemistry• Flow• Temperature• Habitat Quality• Invertebrates• Fishes• OM decomposition
Petty, J. T., Fulton, J. B., Merovich, G. T, Jr., Strager, M. P., Stiles, J., and Ziemkiewicz, P. F. IN REVIEW. Landscape indicators and thresholds of ecological impairment in an intensively mined Appalachian watershed. Journal of the North American Benthological Society.
Mining Thresholds - Northern CoalfieldsKittanning
Freeport
Bayesian Change Point Analysis
5% mining – loss of HQ conditions18% mining –change to “impaired” conditions.
Validated at an 85-95% correct classification rate.
100
68
40
Mon Basin Conclusions• There are identifiable mining
thresholds that produce downstream responses.
– 5% mining – shift from high quality to good conditions.
– 18% mining – shift from fair conditions to impaired.
• Thresholds vary depending on coal geology.
– Freeport coal geology has lowest “functional” thresholds.
• Validated models provide the baseline conditions needed for making management decisions (restoration and permitting).
Coal Geology Mining Intensity Residences
Southern WV Coalfields:
1. Variable coal geology, mining intensity, and population density.
2. People live in the floodplains and wastewater services are “spotty.”
3. Need for technical support for permitting decisions (thresholds, stressor interactions, visual decision support technologies).
Pigeon Creek Watershed
• 41 sites• Mining Intensity• Residential Development• Independent and
Interactive effects• Effects on wq, hq, and
inverts• Mining thresholds• Off-site mitigation
opportunities• Directing restoration and
mitigation towards dominant limiting stressors
Merriam, E., G. T. Merovich, and J. T. Petty. IN REVIEW. Additive effects of mining and residential development on stream conditions in an intensively mined Appalachian watershed. Journal of the NA Benthological Society
Parcel Density (#/km2)
0 20 40 60 80 100
Tot
al M
inin
g (%
)
0
20
40
60
80
MinedDevelopedCombined SmallCombined LargeReference
Pigeon Creek Design
•Site independence•Sampling across mining and development gradient.
Correlation with % MiningVariable r pWater Quality
Alkalinity* 0.74 0.004
Acidity* -0.83 <0.001Conductivity* 0.91 <0.0001
Ba* 0.68 0.010
Ca* 0.84 <0.001Mg* 0.81 <0.001
Na* 0.79 0.002
SO4* 0.89 <0.0001WQ PC1 0.90 <0.0001
Macroinvertebrate MetricsmWVSCI -0.64 0.019
EPT Richness -0.58 0.036
E Richness -0.56 0.047%E excluding Baetidae -0.57 0.041
%Dominant 0.58 0.036
• Increased WQ PC1, conductivity and associated dissolved parameters
• Decreased sensitive taxa (esp. Mayflies)
• No effect on habitat quality or complexity
Variable r pPhysical HabiatCV Depth -0.81 0.004LWD/m -0.66 0.037Retentiveness -0.65 0.044%Canopy Cover -0.65 0.042
Water QualityAlkalinity* 0.78 0.008Acidity* -0.73 0.017Conductivity* 0.69 0.023NO2* 0.63 0.049WQ PC1 0.70 0.024
Macroinvertebrate MetricsmWVSCI -0.73 0.017Total Richness -0.69 0.027EPT Richness -0.74 0.015E Richness -0.72 0.019Total Abundance 0.71 0.020%EPT excluding Baetidae -0.93 <0.001%E excluding Baetidae -0.85 0.002%Tolerant 0.64 0.046%Dominant 0.75 0.012%Chironomidae 0.65 0.043
• Decreased habitat complexity
• Increased conductivity and WQ PC1
• Decreased sensitive taxa and increased tolerant taxa
Correlation with Development
Additive Effects of Mining and Residential Development
asin % Mining
0.0 0.2 0.4 0.6 0.8 1.0 1.2
log
EP
T R
ichn
ess
0.6
0.8
1.0
1.2
1.4
1.6
Mined SitesDeveloped SitesCombined SitesReference SitesMined RegressionCombined Regression
log Parcel Density (#/sq km)
0.8 1.0 1.2 1.4 1.6 1.8 2.0D
evia
tion
from
Min
ing
Reg
ress
ion
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
R2=0.22; p=0.080
• Mining has a measurable negative impact.• Worst conditions observed when both stressors are present.• The degree of additional impact is proportional to the level of
development intensity (i.e., additive).
Mining only
Mining + Development
Impairment Thresholds: Pigeon Creek
0 20 40 60 80
02
46
81
01
2
Parcel Density (#/sq km)
%E
(ex
clud
ing
Bae
tidae
)
0.2
0.4
0.6
0.8
Pro
babi
lity
of a
Cha
nge
Poi
nt
0 20 40 60
24
68
10
12
14
Total %Mining
E R
ichn
ess
0.0
50
.10
0.1
50
.20
0.2
50
.30
0.3
5
Pro
babi
lity
of a
Cha
nge
Poi
nt
Bayesian Change Point Analysis
5% mining –loss of HQ conditions28% mining – change to “impaired” conditions5 parcels / km2 – loss of HQ conditions15 parcels / km2 – change to “impaired” conditions
Parcel Density (#/km2)
0 10 20 30 40 50 60
Tot
al %
Min
ing
0
10
20
30
40
50
60
100%
37%
7%
Impairment Thresholds: Pigeon Creek“Functional” Thresholds
The likelihood that mining will produce a downstream impairment depends on the amount of residential development in the watershed.
Definitely Impaired
Probably Impaired
93% streams
“impaired”
0% streams
“impaired”
63% streams
“impaired”
The Pigeon Creek mainstem is a train wreck.
How much of the impairment can be attributed to mining?
To what extent could the conditions be improved through reduced non-mining stressors?
Can the watershed withstand any additional mining?
Current ConditionIdeal Future Condition
- 100% dev / + 0% mining
Alt Future Condition 3- 50% dev / + 0% mining
Alt Future Condition 4- 50% dev / + 10% mining
Pigeon Futures
Green =
Probably not
impaired
Yellow =
Probably impaired
Red =
Definitely impaired
100,0
50,0
100,10
50,10
10,0
10,10
0,00,10100,50
Ideal Condition
Consensus?
Unacceptable
First # = % reduction in development related stressSecond # = % increase in mining related stressFunctional Stream Length = streams classified as “green”
Pigeon Creek Alternative Futures
Pigeon Creek ConclusionsoSimply avoiding future mining
impacts does not help in dealing with existing degradation.
oAFA allows us to visualize a range of future conditions and reach consensus on an acceptable future endpoint to manage towards.
oAFA and management of multiple stressors is untenable at the stream segment scale. But…
oEffective management of actively developing watersheds is possible at the 10-digit HUC scale.
Pigeon CreekMingo County, WV
Final ThoughtsoThe MTM/VF conflict must be resolved (laws demand that
mining occur and that water resources be protected).
oA resolution does not exist at the stream scale, but does exist at the watershed scale (12-digit and 10-digit HUC).
oA resolution will require:
oAllowing localized impacts (development of all types produces localized impacts).
oPlacing limits on the total amount of mining allowed at the 12- or 10-digit HUC scale (needed to meet state narrative standards).
oA regulatory process that enables (facilitates) innovative mitigation (channel restoration, wastewater treatment, etc.)
Coal Geology Mining Intensity Residences
Need for:
1. Predictive models linking instream conditions to landscape attributes across the full range of coal geology, mining intensity, and residential development.
2. Alternative Futures Analysis for the region.
3. Development of watershed specific management plans for the MTR/VF region.
Red watersheds are probably impaired at the outflow.
Orange watersheds are highly vulnerable to additional mining impact.
Map must be refined and then used to make permitting decisions.